Webinar
May 3rd at 4PM BSTAre Visual Foundation Models (VFMs) on par with state-of-the-art?
Grounding-DINO + SAM VS MaskRCNN
Frederik Hvilshøj
Lead Machine Learning Engineer @ Encord
Ulrik Stig Hansen
President & Co-founder @ Encord
What we'll cover
With Foundational Models increasing in prominence, Encord's President and Co-Founder will sit down with our Lead ML Engineer to dissect Meta's new Visual Foundation Model, Segment Anything Model (SAM). After combining the model with Grounding-DINO to allow for zero-shot segmentation, the team will compare it to a SOTA Mask-RCNN model to see whether the development of SAM really is revolutionary for segmentation. You'll get insights into the following:
The rise of VFMs and how they differ from standard models
What Meta's release of DINOv2 means for Grounding-DINO + SAM
How SAM and Grounding-DINO compare to previous segmentation models for performance and predictions
Evaluating model performance using Encord Active
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